TY - GEN
T1 - Optimizing Air Cargo Delivery Routes with a Modified Artificial Bee Colony
AU - Lukitosari, Valeriana
AU - Safarina, Sena
AU - Hafizh, Farhan
AU - Surjanto, Sentot Didik
AU - Wardhani, Laksmi Prita
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Airplanes serve as the primary means of transporting valuable and urgent items. Minimizing the costs associated with shipping, transshipment, and airport operational expenses, network design and air cargo delivery routes should be planned. Determining the minimum-cost air cargo delivery scheme necessitates basing the delivery routes on airport network connections. A MATLAB-based mixed integer linear programming model for six Indonesian airports' air cargo flight route selection was resolved using Artificial Bee Colony (ABC), Modified ABC, and metaheuristic methods after implementation with the cplexmilp function. In numerical simulations, cplexmilp had the smallest objective value compared to ABC and Modified ABC, with decreases of 10.41% and 3.23%. 6.96% is the difference between the minimum objective values obtained using the Modified ABC and ABC algorithms. The Modified ABC algorithm outperforms the ABC algorithm in minimizing air cargo shipping costs.
AB - Airplanes serve as the primary means of transporting valuable and urgent items. Minimizing the costs associated with shipping, transshipment, and airport operational expenses, network design and air cargo delivery routes should be planned. Determining the minimum-cost air cargo delivery scheme necessitates basing the delivery routes on airport network connections. A MATLAB-based mixed integer linear programming model for six Indonesian airports' air cargo flight route selection was resolved using Artificial Bee Colony (ABC), Modified ABC, and metaheuristic methods after implementation with the cplexmilp function. In numerical simulations, cplexmilp had the smallest objective value compared to ABC and Modified ABC, with decreases of 10.41% and 3.23%. 6.96% is the difference between the minimum objective values obtained using the Modified ABC and ABC algorithms. The Modified ABC algorithm outperforms the ABC algorithm in minimizing air cargo shipping costs.
KW - Air Cargo
KW - Artificial Bee Colony
KW - Delivery Route
KW - Modified ABC
KW - Transshipment
UR - http://www.scopus.com/inward/record.url?scp=85211585647&partnerID=8YFLogxK
U2 - 10.1109/ICSINTESA62455.2024.10748178
DO - 10.1109/ICSINTESA62455.2024.10748178
M3 - Conference contribution
AN - SCOPUS:85211585647
T3 - ICSINTESA 2024 - 2024 4th International Conference of Science and Information Technology in Smart Administration: The Collaboration of Smart Technology and Good Governance for Sustainable Development Goals
SP - 421
EP - 426
BT - ICSINTESA 2024 - 2024 4th International Conference of Science and Information Technology in Smart Administration
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference of Science and Information Technology in Smart Administration, ICSINTESA 2024
Y2 - 12 July 2024
ER -
